In order to understand the current state of the healthcare system it is essential to have comprehensive sources of real-world and integrated data linked with data from across the healthcare ecosystem.
In clinical trials, pharmaceutical companies are seeking to optimize operations and improve efficiency by automating and enhancing processes through Artificial Intelligence (AI) and Machine Learning (ML). One area where this can reap tangible benefits across clinical trials is in data processing. A typical clinical trial generates over 13,000 documents in various formats (text, voice, video, […]
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
During my 25 years in oncologic drug discovery, development and commercialization, I have seen how economic cycles can skew priorities and slow progress – but we cannot let that happen.
To maximize the digital clinical trial opportunity, it is imperative to establish a solid foundation of data collection and management best practices and capitalize on the advancements in data management technologies.
For a long time, doctors’ offices, large or small, operated under a seeming contradiction; even as modern medicine pushed the frontiers of innovation, providing new treatments and sometimes cures for devastating diseases, so much of our healthcare system remained stuck in the pre-digital past. The most obvious example is one that many of us have […]
Artificial intelligence can help drug study teams solve operational, scientific and ethical challenges. For example, AI can be used to flag real-time trends emerging in drug trials that might otherwise not be obvious until the end of a study when all the data is analyzed.
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
AI’s ability to quickly scan and synthesize huge volumes of information is being adopted for numerous healthcare initiatives, including use in pharmaceutical drug discovery and development.
The science of using sensor data to define, measure, and create mathematical models of disease can lead to better outcomes—and huge benefits—for everyone in healthcare and life sciences.